Thursday, August 27 | 11:00 AM – 7:00 PM EDT
Short Courses
| 11:00 – 15:00 | 101: Intro to R for Clinicians Stephan Kadauke, Amrom Obstfeld, Joe Rudolf |
| 15:00 – 19:00 | 201: Intro to Machine Learning with Tidymodels Alison Hill |
Thank you for your interest in these courses. Registration is now closed. Both courses will be available via replay after their conclusion.
Friday, August 28 | 11:00 AM – 7:20 PM EDT
| 11:00 – 11:15 | Opening Remarks Stephan Kadauke |
| 11:15 – 12:15 | Keynote: Beyond Sample Splitting: Valid Inference while ‘Double Dipping’ Daniela Witten |
| 12:15 – 12:30 | Break / Chat with Keynote Speaker |
| 12:30 – 12:50 | Reporting Clinical Trial Data and Analyses with the {listdown} Package Michael Kane |
| 12:50 – 13:10 | Using R to Detect Outliers and Anomalies in Clinical Trial Data Steven Schwager |
| 13:10 – 13:30 | tidyCDISC: an Open Source Platform in R to Analyze Clinical Trial Data Maya Gans, Marly Gotti |
| 13:30 – 14:00 | Birds of a Feather Sessions: + R in Clinical Trials + R in the Clinical Laboratory (with support from AACC and MSACL) + R in Medical Education + R in Omics Research + Automating Data Cleaning |
| 14:00 – 15:00 | Keynote: A Glimpse into the Future Robert Gentleman |
| 15:00 – 15:15 | Break / Chat with Keynote Speaker |
| 15:15 – 15:35 | Reproducible Computation at Scale with {drake} Will Landau |
| 15:35 – 15:45 | Reproducible RStudio Projects with Docker, Packages Snapshots and Packrat Vincent Major |
| 15:45 – 15:55 | Reproducible Notebooks with {holepunch} Karthik Ram |
| 15:55 – 16:05 | Rapid Analysis and Presentation of Quality Improvement Data with R John MacKintosh |
| 16:05 – 16:25 | Building a Radiology Workflow Manager from Scratch with R Anton Becker |
| 16:25 – 16:40 | Break |
| 16:40 – 17:00 | Build Your Own Universe: Scale High-quality Research Data Provisioning with R Packages Travis Gerke, Garrick Aden-Buie |
| 17:00 – 17:10 | {ggconsort}: Toward Programmatic, Reproducible CONSORT Diagrams with ggplot2 Peter Higgins |
| 17:10 – 17:30 | Publication-Ready Summary Tables with the {gtsummary} Package Daniel Sjoberg, Karissa Whiting |
| 17:30 – 17:40 | {nDSPA}: An R Package for Quality Metrics, Preprocessing, Visualization, and Differential Testing Analysis of Spatial Omics Data Riyue Bao |
| 17:40 – 18:00 | A Bayesian Hyperparameter Tuning Algorithm for Clinical Healthcare Models Built with {sparklyr} Neil Dixit, Johnathon Armstrong |
| 18:00 – 18:10 | {treeheatr}: an R package for Interpretable Decision Tree Visualizations Trang Le |
| 18:10 – 18:20 | Processing Clinical Trial Analysis Data with the {forceps} Package Michael Kane |
| 18:20 – 19:20 | Birds of a Feather Sessions + R/Medicine Ladies + Clinical Predictive Modeling and Decision Support + Shiny and Dashboards + Virtual Happy Hour |
Saturday, August 29 | 11:00 AM – 6:30 PM EDT
| 11:00 – 12:00 | Keynote: From Cancer to COVID: Scale and Agility in Global Health Research using R Ewen Harrison |
| 12:00 – 12:20 | Panel Discussion: R U Ready? Making Sense of Healthcare Data Together Anastasiia Zharinova, Thomas Jemmett, Alysia Dyke, Chris Beeley, Zoë Turner |
| 12:20 – 12:35 | Break / Chat with Keynote Speaker and Panel |
| 12:35 – 12:45 | Reproducible Data, Reproducible Analyses: a Model for Clinical Laboratory Data Use Stephen Master |
| 12:45 – 13:05 | Learning Iteratively, Learning Collaboratively: Lessons from a Rapid-deployment Data Education Webinar Series during COVID-19 Cass Wilkinson Saldaña |
| 13:05 – 13:25 | Data is Not Neutral: Biomedical Data, White Supremacy, and What You Can Do K. Joy Payton, Paulette McRae |
| 13:25 – 13:45 | The MD in .rmd: Teaching Clinicians Data Analytics with R Ted Laderas |
| 13:45 – 13:55 | Using R to Produce Clinical Reports in the Patient Record Daniel Holmes |
| 13:55 – 14:25 | Birds of a Feather Sessions + Imaging Analysis + Minorities in R/Medicine (with support from MiR Community) + Reproducible Research, Reproducible Workflows + COVID19 Research + Geospatial Mapping |
| 14:25 – 14:45 | Productionising Machine Learning and Shiny in Healthcare Settings – a Case Study of a Project Looking at Predicting Non-attendance at Clinic Chris Beeley |
| 14:45 – 15:05 | REAdi Tool: Using Shiny as a Tool for Real World Evidence Evaluation Brennan Beal, Beth Devine |
| 15:05 – 15:25 | An Open Source ANOVA and Power Analysis Tool Made in R/Shiny Marly Gotti, Jake Gagnon |
| 15:25 – 15:45 | Calculating Nationwide Access Metrics for Treatment of Opioid Use Disorder Angela Li, Marynia Kolak |
| 15:45 – 16:00 | Break |
| 16:00 – 17:00 | Keynote: Increasing Access to COVID-19 Testing with Open Source Tools Patrick Mathias |
| 17:00 – 17:15 | Break / Chat with Keynote Speaker |
| 17:15 – 17:35 | How Many Patients Must Have Different Outcomes to Change your Inference? Assessing Clinical Uncertainty in Randomized Controlled Trials during COVID-19 Ken Frank, Spiro Maroulis |
| 17:35 – 17:45 | Using R to support COVID response at the health system Corey Fritsch |
| 17:45 – 17:55 | pammtools: Survival Analysis using Generalized Additive Mixed Models Andreas Bender |
| 17:55 – 18:05 | Closing Remarks Stephan Kadauke |
